Research on Parenting and Child Development, and Selected Statistical Materials

About Me

• A little bit about my background
• My CV

“Blog-ish” Posts

• posts

Selected Courses

• Data Visualization
• Multilevel and Longitudinal Modeling
• Categorical Data Analysis

Figure 1: Data Visualization

Figure 2: Categorical Data Analysis

Research on Parenting

My interests are in developing more knowledge to reduce violence against children and to improve child and family wellbeing. In this research I try to understand the family and community origins of aggression, antisocial behavior, anxiety and depression. My current research focuses on parenting and child development across cultures and social contexts.

• “Global Perspectives on Positive and Negative Parenting: A Bayesian Multilevel Analysis”.
• Data Visualization for “Spanking and young children’s socioemotional development in low- and middle-income countries”. Child Trends News Service has released a well done video summarizing this research.
• Meta-Analysis of Research on Corporal Punishment
• Earlier Research On Corporal Punishment
• Data Visualization of Country Level Bans on Corporal Punishment

Figure 3: Country Level Bans on Corporal Punishment

Selected Collaborations

• Work with Performance Measurement Initiative at William Davidson Institute

R Materials

• Introduction to R:
  • HTML Web Book
  • PDF
  • epub
• Introduction to ggplot2:
  • HTML Web Book
  • PDF
  • epub
• University of Michigan colors for R Graphs:
  • web page
  • R package

Figure 4: Michigan Color Scheme For R Graphs

• Two Page R:
  • PDF
• Two Page ggplot2:
  • PDF
• Multi-Page dplyr:
  • PDF
  • HTML
• Comparing Program Outcomes with ggplot2
  • HTML
  • PDF
• Working With Data From the World Bank Indicators
  • HTML

Stata Materials

• Two Page Stata:
  • HTML
  • PDF
  • epub
• “Michigan Graph Scheme” for Stata

Figure 5: Michigan Color Scheme For Stata Graphs

• Data Visualization With Stata
• Miscellaneous Stata Programs

Bayesian Statistics

• Thinking Through Bayesian Ideas
• Bayes Theorem Applied To Data Analysis
• Notes on Accepting the Null (\(H_0\)) Hypothesis

Figure 6: Thinking Through Bayesian Ideas

Statistical Tutorials and Visualizations

• t-Test
• Correlation
• Regression
  • Tutorial
  • Demo
• Logistic Regression
• Cohen’s d Calculator

Data Visualization

• How To Choose A Chart
  • How to Choose a Chart: A Visual Guide.
  • How to Choose a Chart: An Intuitive Guide
  • Extended Version
• Data Driven Report Demo
• Variables and Visualization
• Slides for a Lecture on Data Visualization for Political Social Work

Figure 7: How To Choose A Chart

Telling Stories With Data

• Visualizing Disparities in a Continuous Risk Factor [PDF]
• Comparing Program Outcomes With ggplot [PDF]
• Graphing Change Over Time [PDF]

Created By

Andrew Grogan-Kaylor

• Web: https://www.umich.edu/~agrogan
• Email: agrogan@umich.edu
• GitHub: https://agrogan1.github.io/
• ResearchGate: https://www.researchgate.net/profile/Andrew_Grogan-Kaylor
• Google Scholar: https://scholar.google.com/citations?user=iLvsGzgAAAAJ&hl=en
• ORCID https://orcid.org/0000-0003-0065-9991